AI, brain scans may alter how doctors treat depression

Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients. A national trial initiated by UT Southwestern in 2011 to better understand mood disorders has produced what scientists are calling the project’s flagship finding: a computer that can accurately predict whether an antidepressant will work based on a … Read more AI, brain scans may alter how doctors treat depression

New technology could help solve AI’s ‘memory bottleneck’

Memory-hungry, power-sapping big data might finally have met its match. Electrical engineers at Northwestern University and the University of Messina in Italy have developed a new magnetic memory device that could potentially support the surge of data-centric computing, which requires ever-increasing power, storage and speed. Based on antiferromagnetic (AFM) materials, the device is the smallest … Read more New technology could help solve AI’s ‘memory bottleneck’

Artificial intelligence can spot when correlation does mean causation

A new Artificial Intelligence (AI) has allowed AI researchers, for the first time, to demonstrate a useful and reliable way of sifting through masses of correlating data to spot when correlation means causation. By fusing old, overlapping and incomplete datasets this new method, inspired by quantum cryptography, paves the way for researchers to glean the … Read more Artificial intelligence can spot when correlation does mean causation

Novel memristor-enabled computation in memory architecture could revolutionize artificial-intelligence hardware

Artificial intelligence (AI) is revived these years because of the development of deep learning algorithms, which perform excellently in computer vision tasks (e.g. image recognition, detection) and nature language processing (e.g. machine translation, text generation). This is promising to revolutionize our society to enter an intelligent era. However, the fundamental computing hardware still face severe … Read more Novel memristor-enabled computation in memory architecture could revolutionize artificial-intelligence hardware

New imaging system and artificial intelligence algorithm accurately identify brain tumors

Published inĀ Nature MedicineĀ on January 6, the study examined the diagnostic accuracy of brain tumor image classification through machine learning, compared with the accuracy of pathologist interpretation of conventional histologic images. The results for both methods were comparable: the AI-based diagnosis was 94.6% accurate, compared with 93.9% for the pathologist-based interpretation. The imaging technique, stimulated Raman … Read more New imaging system and artificial intelligence algorithm accurately identify brain tumors

Antarctic waters: Warmer with more acidity and less oxygen

The increased freshwater from melting Antarctic ice sheets plus increased wind has reduced the amount of oxygen in the Southern Ocean and made it more acidic and warmer, according to new research led by University of Arizona geoscientists. The researchers found Southern Ocean waters had changed by comparing shipboard measurements taken from 1990 to 2004 … Read more Antarctic waters: Warmer with more acidity and less oxygen

Artificial intelligence identifies previously unknown features associated with cancer recurrence

Artificial intelligence (AI) technology developed by the RIKEN Center for Advanced Intelligence Project (AIP) in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors. Further, the AI identified features relevant to cancer prognosis that were not previously noted by pathologists, leading to a … Read more Artificial intelligence identifies previously unknown features associated with cancer recurrence

Machine learning decreases experimental costs of drug combination screening for translational applications

Combination therapies have become a standard treatment of several complex diseases. High-throughput screening (HTS) makes it possible to profile phenotypic effects of thousands of drug combinations in patient-derived cells and other pre-clinical model systems. However, due to the massive number of potential drug and dose combinations, large-scale multi-dose combinatorial screening requires extensive resources and instrumentation, … Read more Machine learning decreases experimental costs of drug combination screening for translational applications

Machine learning can help us understand conversations about death

Some of the most important, and difficult, conversations in healthcare are the ones that happen amid serious and life-threatening illnesses. Discussions of the treatment options and prognoses in these settings are a delicate balance for doctors and nurses who are dealing with people at their most vulnerable point and may not fully understand what the … Read more Machine learning can help us understand conversations about death

Molecular eraser enables better data storage and computers for AI

Scientists have added a crucial tool to the atomic-scale manufacturing toolkit with major implications for today’s data driven–carbon intensive–world, according to new research from the University of Alberta in Canada. “Computers today are contributing one gigatonne of carbon emissions to the atmosphere, and we can eliminate that by enhancing the most power-hungry parts of conventional … Read more Molecular eraser enables better data storage and computers for AI